Bachelor of Arts in Computer Science & Economics
• May 2019
• GPA: 3.5/4.0
• SAT: 2370/2400
Product Management/Data & AI Intern
• May 2018 – August 2018
• Applied machine learning to transaction data to produce revenue-generating consumer insights
• Adapted Natural Language Processing algorithms and neural nets as a new incorporated product feature behavior
• Winner of company-wide hack-a-thon in category #UnleashThePowerOfData
Economic Analyst Intern
• May 2017 – August 2017
• Evaluated economic and banking data to identify and limit financial risks to FDIC insured institutions
• Produced charts, presentations, and reports used in nation-wide bank regulation conferences
• Automated and standardized intern duties, increased efficiency by 30%
Data Analytics Intern
• June 2016 – August 2016
• Executed user similarity and social network analysis on InstaVoice App usage data (Python, SQL)
• Developed a recommendation system (Python) that increased subscription revenue from 3% to 50%
• Devised nearest neighbor algorithm based on locality sensitive hashing, improved runtime by 97%
Student Instructor
• January 2016 – Present
• Taught weekly course about classroom management (Education 198) to over 30 students
• Facilitated student understanding of trends, special topics, and best practices in education
Executive Director
• May 2017 – Present
• Managed a 40-person non-profit organization, provided free SAT prep to 200+ low-income students
• Constructed new Reading and Writing curriculum, increased average student test score by 100 points
• Directed a 7-person officer board and conducted weekly board meetings, maintained relationships with clients, sponsors, site partners, and campus organizations
External Vice President
• May 2018– Present
• Planned and orchestrated campus-wide, corporate sponsored hack-a-thon-style event and internal development conference
Project Manager
• January 2018– May 2018
• Supervised market research and data analysis of 8 consultants seeking to solve an industry-wide public relations problem
Tech Consultant
• January 2017– December 2017
• Built an interactive chatbot that dispersed agricultural information to farmers in West Bengal, India
• Pulled and parsed data from APIs and used it to train our machine learning API to answer questions
Data Analyst
• January 2017 – August 2017
• Assembled API data, implemented statistical and econometric models (Pandas Python) to study loan popularity in partnership with microfinance non-profit Kiva Microfunds
• Optimized borrower profiles based on results, increased loan dollars received per day by 10%
• Programming Languages: Python (Pandas, Tensorflow), Java, SQL, C, Hadoop/Hive/HQL
• Software: Excel, Powerpoint, Sketch, Adobe Photoshop, Adobe Illustrator, Stata, LaTeX
• Economics Coursework: Econometrics (140), Statistics (Stats 20), Financial Economics (136), Micro/Macro Economics (100A/B), Global Poverty and Impact Evaluation (174)
• Computer Science Coursework: Artificial Intelligence (188), Algorithms (170), Machine Learning (189), Data Structures (61B), Computer Architecture (61C), Principles of Data Science (100)
Worked with a team to identify growth opportunities and strategies to enter new markets. I developed the model in 2.1 and co-wrote the Abstract, Introduction, and Conclusion in the report. I also created all graphs and slides.
View Report View SlidesCourse paper written for Literature in English: Late 17th-Mid 19th Century (English 45B at UC Berkeley).
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